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Information Technology 🏢 Full Time ⭐️ Verified

Lead Data Analyst

Pacific Analytics Solutions
Honolulu
Estimated Salary
USD 95.000 – USD 135.000
New
Live Update
8 Oktober 2026
Deadline
8 Okt 2027

Job Description

Join our award-winning data team in Honolulu and transform complex datasets into strategic business insights. As Lead Data Analyst at Pacific Analytics Solutions, you'll drive decision-making for Fortune 500 clients across Hawaii's booming tourism and tech sectors. Enjoy competitive compensation, flexible remote options, and the unparalleled lifestyle of paradise while advancing your career in one of America's most vibrant markets.

We offer comprehensive benefits including health insurance, 401(k) matching, and professional development stipends. Our Honolulu office features ocean views, collaborative workspaces, and regular team-building events at iconic Waikiki locations.

Responsibilities

  • Design and implement advanced data models using SQL, Python, and R to solve complex business challenges
  • Create interactive Tableau dashboards and visualizations for executive stakeholders
  • Lead A/B testing initiatives and statistical analysis to optimize marketing campaigns
  • Mentor junior analysts and establish data governance frameworks
  • Present findings to C-suite executives with actionable recommendations
  • Collaborate with product teams to translate data insights into product features
  • Monitor KPIs and develop predictive analytics models

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 5+ years experience in data analysis with proven leadership track record
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
  • Advanced Tableau/Power BI certification with portfolio of complex dashboards
  • Experience with cloud platforms (AWS/GCP) and big data technologies
  • Strong business acumen with ability to translate technical findings to ROI
  • Excellent communication skills with experience presenting to non-technical audiences

Required Skills

SQL Python R Tableau Statistical Analysis Data Visualization AWS Machine Learning Business Intelligence A/B Testing

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